| Zdroj: |
Zicari, R V, Brodersen, J, Brusseau, J, Dudder, B, Eichhorn, T, Ivanov, T, Kararigas, G, Kringen, P, McCullough, M, Moslein, F, Mushtaq, N, Roig, G, Sturtz, N, Tolle, K, Tithi, J J, Halem, I V & Westerlund, M 2021, ' Z-Inspection® : A Process to Assess Trustworthy AI ', IEEE Transactions on Technology and Society, vol. 2, no. 2, pp. 83-97 . https://doi.org/10.1109/TTS.2021.3066209 |
| Popis: |
The ethical and societal implications of artificial intelligence systems raise concerns. In this article, we outline a novel process based on applied ethics, namely, Z-Inspection®, to assess if an AI system is trustworthy. We use the definition of trustworthy AI given by the high-level European Commission’s expert group on AI. Z-Inspection® is a general inspection process that can be applied to a variety of domains where AI systems are used, such as business, healthcare, and public sector, among many others. To the best of our knowledge, Z-Inspection® is the first process to assess trustworthy AI in practice. |
